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of quantitative methods of data processing and analysis, optimization and scientific programming, in the following areas. * The search, structuration and analysis of economic, energy and emissions-related data
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long repetitive and complex process. (2) Assess how LLM perform and can be complementary to traditional tools used for evaluation (formal methods, using Frama-C and Lazart). Internship tasks •Literature
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. Moyens / Méthodes / Logiciels Matlab, Python, Signal processing, Digital communications Profil du candidat Required skills: •Signal processing and digital communication •MATLAB/Python •Proficient in using
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and particles, while the latter can induce radial redistribution or losses of EPs, limiting their contribution to plasma heating. Traditionally, these processes have been studied separately, assuming
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good understanding of matrix algebra • Good understanding of RF power amplifier design (Class of operation, loadline theory, loadpull…) • Good understanding of semiconductor process such as CMOS, BiCMOS